Brailowsky 1960

Performance		0-Rank	0-Score	1-Rank	1-Score	2-Rank	2-Score	3-Rank	3-Score	3R-Rank	3R-Score	4-Rank	4-Score	NED
Ashkenazy 1981		46	0.54	43	0.00	40	0.08	44	0.08	21	0.40	40	0.18
Ax 1995		6	0.70	16	0.00	7	0.16	3	0.72	12	0.64	4	0.68
Bacha 1998		52	0.49	31	0.00	50	0.09	38	0.09	21	0.32	41	0.17
Barbosa 1983		41	0.56	29	0.00	46	0.06	58	0.06	27	0.19	48	0.11
BenOr 1989		23	0.62	54	0.00	26	0.11	25	0.28	27	0.29	30	0.28
Biret 1990		14	0.67	6	0.01	15	0.23	14	0.55	4	0.70	9	0.62
Brailowsky 1960		target	target	target	target	target	target	target	target	target	target	target	target
Chiu 1999		53	0.48	48	0.00	52	0.08	42	0.08	10	0.56	34	0.21
Clidat 1994		47	0.53	34	0.00	41	0.06	57	0.06	17	0.42	43	0.16
Cohen 1997		63	0.31	51	0.00	64	0.06	59	0.06	55	0.05	62	0.05
Cortot 1951		60	0.40	62	0.00	60	0.04	63	0.04	26	0.30	49	0.11
Csalog 1996		35	0.59	37	0.00	33	0.08	33	0.16	10	0.60	27	0.31
Czerny 1989		16	0.66	27	0.00	18	0.14	17	0.50	8	0.66	11	0.57
Ezaki 2006		28	0.61	39	0.00	31	0.08	31	0.20	22	0.44	28	0.30
Falvay 1989		2	0.75	10	0.01	2	0.39	2	0.82	7	0.61	2	0.71
Fiorentino 1962		9	0.68	25	0.00	9	0.15	12	0.57	14	0.58	13	0.57
Fliere 1977		30	0.60	24	0.00	25	0.10	22	0.35	12	0.44	23	0.39
Fou 1978		39	0.56	38	0.00	34	0.10	36	0.10	34	0.09	52	0.09
Francois 1956		25	0.62	21	0.00	17	0.11	18	0.47	2	0.67	15	0.56
Goldenweiser 1946		50	0.52	13	0.00	38	0.06	55	0.06	6	0.61	38	0.19
Gornostaeva 1994		48	0.53	57	0.00	49	0.08	45	0.08	7	0.54	36	0.21
Groot 1988		4	0.72	4	0.04	3	0.23	4	0.72	3	0.72	1	0.72
Hatto 1993		38	0.57	64	0.00	44	0.08	41	0.08	46	0.07	57	0.07
Hatto 1997		45	0.55	65	0.00	48	0.07	48	0.07	39	0.08	56	0.07
Horszowski 1983		59	0.41	55	0.00	59	0.08	46	0.08	11	0.45	37	0.19
Indjic 2001		37	0.57	47	0.00	45	0.11	34	0.11	42	0.07	53	0.09
Katin 1996		44	0.55	14	0.00	39	0.06	52	0.06	43	0.09	55	0.07
Kiepura 1999		32	0.59	28	0.00	37	0.11	35	0.11	28	0.30	39	0.18
Korecka 1992		27	0.61	45	0.00	27	0.08	28	0.24	7	0.67	22	0.40
Kushner 1990		17	0.65	8	0.01	16	0.13	20	0.39	14	0.51	19	0.45
Lilamand 2001		64	0.30	61	0.00	63	0.04	64	0.04	41	0.06	60	0.05
Luisada 1990		49	0.53	32	0.00	51	0.10	37	0.10	40	0.10	51	0.10
Luisada 2008		55	0.47	59	0.00	54	0.06	51	0.06	49	0.07	58	0.06
Lushtak 2004		22	0.63	19	0.00	24	0.09	21	0.36	21	0.38	25	0.37
Malcuzynski 1951		11	0.67	7	0.01	13	0.20	15	0.55	19	0.46	18	0.50
Malcuzynski 1961		7	0.69	23	0.00	10	0.18	10	0.58	16	0.49	16	0.53
Magaloff 1977		34	0.59	42	0.00	42	0.07	50	0.07	3	0.77	33	0.23
Magin 1975		8	0.68	9	0.01	11	0.15	11	0.58	8	0.59	10	0.58
Meguri 1997		54	0.48	52	0.00	53	0.08	47	0.08	31	0.25	44	0.14
Milkina 1970		15	0.67	36	0.00	8	0.13	8	0.62	10	0.52	12	0.57
Mohovich 1999		43	0.55	17	0.00	36	0.08	40	0.08	29	0.24	46	0.14
Nezu 2005		40	0.56	56	0.00	47	0.06	54	0.06	48	0.07	59	0.06
Ohlsson 1999		29	0.60	33	0.00	30	0.09	30	0.22	30	0.21	35	0.21
Olejniczak 1990		10	0.68	26	0.00	14	0.17	13	0.56	14	0.56	14	0.56
Osinska 1989		20	0.64	22	0.00	23	0.12	24	0.31	30	0.27	29	0.29
Perlemuter 1992		62	0.37	63	0.00	61	0.05	62	0.05	53	0.04	64	0.04
Poblocka 1999		33	0.59	35	0.00	43	0.08	39	0.08	34	0.13	50	0.10
Rangell 2001		61	0.39	49	0.00	62	0.05	60	0.05	46	0.05	63	0.05
Richter 1960		51	0.49	40	0.00	55	0.06	53	0.06	22	0.33	45	0.14
Richter 1961		58	0.42	58	0.00	57	0.05	61	0.05	24	0.31	47	0.12
Rosen 1989		31	0.59	30	0.00	32	0.09	32	0.17	27	0.33	32	0.24
Rubinstein 1939		36	0.58	12	0.01	20	0.10	27	0.25	22	0.48	26	0.35
Rubinstein 1952		13	0.67	3	0.06	6	0.21	7	0.66	5	0.69	7	0.67
Rubinstein 1966		18	0.64	11	0.01	19	0.13	16	0.51	15	0.50	17	0.50
Rudanovskaya 2007		56	0.44	53	0.00	56	0.07	49	0.07	17	0.41	42	0.17
Shebanova 2002		57	0.44	50	0.00	58	0.06	56	0.06	60	0.04	61	0.05
Smith 1975		12	0.67	20	0.00	12	0.17	9	0.60	8	0.66	8	0.63
Sztompka 1959		21	0.63	41	0.00	28	0.08	29	0.23	9	0.61	24	0.37
Tanyel 1992		3	0.72	5	0.02	4	0.20	5	0.70	6	0.67	3	0.68
Tsujii 2005		19	0.64	18	0.00	22	0.08	23	0.35	32	0.19	31	0.26
Uninsky 1959		5	0.72	2	0.08	5	0.21	6	0.69	5	0.66	5	0.67
Vardi 1988		42	0.55	46	0.00	35	0.08	43	0.08	46	0.07	54	0.07
Wasowski 1980		26	0.62	15	0.00	29	0.09	26	0.26	4	0.75	20	0.44
Zimerman 1975		24	0.62	44	0.00	21	0.12	19	0.44	22	0.38	21	0.41
Average		1	0.80	1	0.68	1	0.67	1	0.91	18	0.50	6	0.67
Random 1		67	-0.03	66	0.00	67	0.01	67	0.01	50	0.04	67	0.02
Random 2		65	-0.01	60	0.00	66	0.02	66	0.02	47	0.04	65	0.03
Random 3		66	-0.01	67	0.00	65	0.02	65	0.02	44	0.04	66	0.03

Column descriptions

• Performance:
• 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
• 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
• 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
• 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
• 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
• 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
• NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

• red = strongly similar performance to target
• orange = moderately similar performance
• yellow = weakly similar performance
• green = marginally similar/dissimilar performance
• white = dissimilar to target
• blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).